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S-D analog to digital conversion

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S-D Analog to Digital Converter for CMOS Image Sensors Nonu Singh (RIT, MicroE Co-Op) Background Testing of the detector control electronics is needed to supply ... – PowerPoint PPT presentation

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Title: S-D analog to digital conversion


1
S-D Analog to Digital Converter for CMOS Image
SensorsNonu Singh (RIT, MicroE Co-Op)
  • Background
  • Testing of the detector control electronics is
    needed to supply correct bias voltages and
    clocks.
  • Understanding the operation of the image sensor
    is important to configure the test bed and
    measure the operation.
  • Goals
  • Evaluate the S-D analog to digital conversion
    technique for CMOS image sensors
  • Develop a testing plan for the CMOS image sensor
  • Plan
  • Design and fabricate necessary interface to
    supply clocks and biases to the CMOS image sensor
  • Measure the electrical and optical
    characteristics of the CMOS image sensor

Operation
Photo detector
Second order S-D modulator
A second order S-D modulator structure is
obtained by extending the first order S-D
modulator with an additional integrator unit.
Transfer function xQnz-1.xn(1-z-1)2.en
S-D analog to digital conversion
Generic architecture of a CMOS image sensor
  • Advantages over single order S-D A to D converter
  • Noise is filtered with second order high pass
    filter.
  • Quantization noise is even more suppressed.
  • SNR is increases by 15 dB or 2.5 bits for every
    frequency doubling.

A CMOS image sensor consists of an array of pixel
sensors, each pixel containing a photo detector
and an active amplifier.
Input is fed to quantizer via integrator.
Quantized output feeds back to the input signal.
Transfer function xQn z-1.xn(1-z-1).en
Response on applying Digital Filter
  • Any persistent difference between them
    accumulates in the integrator and eventually
    corrects itself.
  • Average value of the quantized signal tracks the
    average input.
  • The density of "ones" at the modulator output is
    proportional to the input signal.
  • Noise shaping using S-D Modulation
  • Low pass filtration of input signal
  • High pass filtration of quantization noise
  • Most of the quantization noise is pushed into
    higher frequencies.
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